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Interactive Segmentation with Relaxed Image Foresting Transforms
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis. (Centre for Image Analysis)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. (Centre for Image Analysis)
2009 (English)In: Proceedings of SSBA 2009, 2009Conference paper, Published paper (Other academic)
Abstract [en]

The Image Foresting Transform (IFT) is a framework for efficient image partitioning, used in interactive segmentation. We propose a modified version of the IFT, and demonstratethat the modified algorithm is more robust to noise while maintaining computational complexity. We also show an application of the method for interactive segmentation ofback muscles in magnetic resonance images, where seedpoints representing object and background are placed repeatedly until a desired segmentation result is obtained.

Place, publisher, year, edition, pages
2009.
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-105947ISBN: 978-91-633-3924-0 (print)OAI: oai:DiVA.org:uu-105947DiVA: diva2:222946
Available from: 2009-06-10 Created: 2009-06-10 Last updated: 2010-03-01Bibliographically approved

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Malmberg, Filip

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